A Long-Range Ising Model of a Barab\'asi-Albert Network
Jeyashree Krishnan, Reza Torabi, Edoardo Di Napoli, Carsten Honerkamp,, Andreas Schuppert

TL;DR
This paper introduces a long-range homogeneous Ising model approximation for Barabási-Albert networks, effectively capturing magnetization behavior and critical temperature scaling, especially for finite-sized biological systems.
Contribution
It proposes a novel homogeneous long-range Ising model approximation for Barabási-Albert networks, improving the description of magnetization over previous heterogeneous mean-field methods.
Findings
Critical temperature scales linearly with the number of added links.
The model accurately predicts magnetization for nodes with average or below-average degree.
It provides the only known homogeneous description of Barabási-Albert networks.
Abstract
Networks that have power-law connectivity, commonly referred to as the scale-free networks, are an important class of complex networks. A heterogeneous mean-field approximation has been previously proposed for the Ising model of the Barab\'{a}si-Albert model of scale-free networks with classical spins on the nodes wherein it was shown that the critical temperature for such a system scales logarithmically with network size. For finite sizes, there is no criticality for such a system and hence no true phase transition in terms of singular behavior. Further, in the thermodynamic limit, the mean-field prediction of an infinite critical temperature for the system may exclude any true phase transition even then. Nevertheless, with an eye on potential applications of the model on biological systems that are generally finite, one may still try to find approximations that describe the relevant…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Game Theory and Applications
